check_ESS

Check the quality of the MCMC draws from the posterior distribution
by checking whether the relative ESS is sufficiently large.

Implements standard and reference based multiple imputation methods for continuous
longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular,
this package supports deterministic conditional mean imputation and jackknifing as described
in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described
in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum
likelihood imputation as described in von Hippel and Bartlett (2021) <doi: 10.1214/20-STS793>.

Isaac Gravestock

rbmi

Reference Based Multiple Imputation

Craig Gower-Page

Alessandro Noci

Marcel Wolbers

Daniel Sabanes Bove

F. Hoffmann-La Roche AG 

check_ESS function

<dl><dt>stan_fit</dt>
<dd>A <code>stanfit</code> object.</dd>
<dt>n_draws</dt>
<dd>Number of MCMC draws.</dd>
<dt>threshold_lowESS</dt>
<dd>A number in <code>[0,1]</code> indicating the minimum acceptable
value of the relative ESS. See details.</dd></dl>

Arguments

Diagnostics of the MCMC based on ESS — check_ESS

<dl>

<dt>stan_fit</dt>
<dd>A <code>stanfit</code> object.</dd>


<dt>n_draws</dt>
<dd>Number of MCMC draws.</dd>


<dt>threshold_lowESS</dt>
<dd>A number in <code>[0,1]</code> indicating the minimum acceptable
value of the relative ESS. See details.</dd>

</dl>

check_ESS: Diagnostics of the MCMC based on ESS

Description

Usage

Value

Arguments

Details